Energy Management and Smart Homes, Ambient Assisted Living, Intelligent Transport, Cloud of Things and Big Data

1. APPLICATION AND USE CASES
PART - 1
INTERNET OF THINGS
MODULE 6
DIVYA TIWARI
MEIT
TERNA ENGINEERING COLLEGE
Energy Management and Smart Homes, Ambient Assisted Living, Intelligent Transport,
Cloud of Things and Big Data

2. INDEX
ENERGY
MANAGEMENT
AMBIENT
ASSISTED LIVING
INTELLIGENT
TRANSPORT
CLOUD OF
THINGS
BIG DATA

3. ENERGY MANAGEMENT
• IoT enables process automation and operational efficiency in basically every industry —
healthcare, retail, manufacturing, energy, logistics.
• IoT applications in the energy sector grow special attention from consumers, businesses
and even governments.
• Apart from numerous benefits to the electric power supply chain, IoT energy management
systems give way to new smarter grids which promise unprecedented savings, improved
security and enhanced efficiency.
5 Ways Internet of Things Technology Helps Save Energy:
1. Smart light, temperature, air condition control
2. Energy management systems
3. Adoption of green energy
4. Energy storage
5. Connected stations, plants, solar and wind fields

5. Benefits:
• reduce energy spending
• minimize carbon emission
• meet governmental restrictions
• integrate green energy
• optimize asset maintenance
• automate processes
• cut operational expenses
• gain visibility to energy use
• identify malfunctions in time and prevent them
• effectively combat outages, accidents, blackouts
• predict consumption and spending and plan accordingly

6. AMBIENT ASSISTED LIVING
• Ambient Assisted Living (AAL) encompasses technical systems to support elderly people
and people with special needs in their daily routine.
• The main goal of AAL is to maintain and foster the autonomy of those people and, thus,
to increase safety in their lifestyle and in their home environment.
• The necessity for such applications arises from the demographic change in industrialized
countries where life expectancy is on the rise and the birth rate is in decline.
• These circumstances require innovative and cost-effective solutions to keep the health
care expenditures within the bounds of economic possibility.
• AAL applications include services, products and concepts to increase the quality of life,
well being and safety of elderly people.

7. • The fields of needs for elderly people in AAL applications are:
1. Health
2. Safety/Security
3. Peace of mind
4. Independence
5. Mobility
6. Social contact.

8. The IoT in an AAL scenario: The
elderly people live in their homes,
which are equipped with smart objects.
The mobile phone acts as mobile
terminal for the person and is capable
of sending relevant data to a service
center, where they are processed.
Different groups of partners have
access to the processed data and can
interact directly by contacting the
person or by interacting with the smart
objects around the concerned person.

9. INTELLIGENT TRANSPORT
• Transportation systems are really about networks, and much of the value of a network is
contained in its information: For example, whether a traffic signal “knows” there is
traffic waiting to pass through an intersection; whether a vehicle is drifting out of its
lane; whether two vehicles are likely to collide at an intersection; whether a roadway is
congested with traffic; what the true cost of operating a roadway is, etc.
• In the IoT environment, all objects in our daily life become part of the Internet because
of their communication and computing capabilities that allow us to communicate with
other objects.
• IoT extends the concept of the Internet and makes it more pervasive intelligent transport
systems (ITS) have recently emerged as a promising technology that enable the
deployment of diverse applications related to road safety, traffic efficiency and
infotainment.

11. • ITS applications exploit data collected from vehicles to improve the use of vehicles, the
safety and comfort of drivers and to rationalize the use of public infrastructures.
• ITS applications can be categorized into four main classes:
• infotainment and comfort
• traffic management
• road safety
• autonomous driving applications

12. CLOUD OF THINGS
IoT
• IoT term was first introduced by Kevin Ashton in 1998, is a future of Internet and
ubiquitous computing.
• This technological revolution represents the future of connectivity and reachability.
• In IoT, ‘things’ refer to any object on face of the Earth, whether it is a communicating
device or a noncommunicating dumb object.
• The objects become communicating nodes over the Internet, through data communication
means, primarily through Radio Frequency Identification (RFID) tags.
• IoT include smart objects as well. The objects that are not only physical entities, but also
digital ones and perform some tasks for humans and the environment.
• Hence, IoT is not only hardware and software paradigm, but also include interaction and
social aspects as well.

13. Architecture of IoT is usually considered to be 3-layer : Perception Layer, Network Layer,
Application Layer but some add two more layers: Middleware Layer and Business Layer
Internet of Things layers

14. Cloud Computing
• Cloud computing takes computing from desktop to the whole World Wide Web and the user
doesn’t need to worry about maintenance and managing all the resources.
• User has to bear only the cost of usage of service(s), which is called, pay-as-you-use, in
cloud computing terms.
• With this cloud computing, a smart phone can become a large data center.
• Cloud computing is extended form of distributed computing, parallel computing, and grid
computing.
• Cloud computing provides four categories of services, namely:
1. Software as a Service (SaaS)
2. Platform as a Service (PaaS)
3. Networks as a Service (NaaS)
4. Infrastructure as a Service (IaaS)

15. IoT Cloud Computing Cloud of Things

16. IoT’s and Cloud – data communication
Key issues in Cloud of Things:
• Protocol Support
• Energy Efficiency
• Resource Allocation
• Identity Management
• IPv6 deployment
• Service discovery
• Quality of Service provisioning
• Location of data storage
• Security and privacy
• Unnecessary Communication of
data

17. BIG DATA
• Big data means a large set (petabytes or gigabytes) of structured, unstructured or semi-
structured data and analysing those data to get the insights of the business trend.
Characteristics of Big Data

18. Role of Big Data in IoT
Role of Big Data in IoT is to process a large amount of data on a real-time basis and storing
them using different storage technologies.
IoT Big Data Processing

19. Benefits of IoT and Big Data for Companies in
Different Sectors:
• Helps to increase ROI for the business
• It will reshape the future e-health system
• Advantages in Manufacturing companies
• Benefits in Transportation Industry

20. MU Exam Questions
May 2017
• Write note on concept of Cloud of Things. 10 marks
• Explain importance of data analytics using different platforms to develop smart objects.
10 marks
Dec 2017
• Explain importance of data analytics using different platforms to develop smart objects.
10 marks
• SN: case study on Intelligent Transport. 10 marks
Dec 2018
• Explain relationship between IoT, Big Data and Cloud Computing. 10 marks
• SN: Internet of Things for ambient assisted living. 10 marks
• SN: Intelligent transport. 10 marks